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Learn about AliCCS, a production-optimized congestion control selection system developed for Alibaba Cloud's content delivery network in this 19-minute conference presentation from NSDI '25. Discover how researchers addressed the limitations of static congestion control configurations in large-scale CDNs by developing the first congestion control selection approach specifically tailored for production environments. Explore the technical challenges of diverse network environments across geographical regions and understand how AliCCS integrates fine-grained domain knowledge to intelligently choose optimal congestion control algorithms from existing, well-established options. Examine the impressive real-world deployment results spanning over one year, including Quality-of-Experience improvements of up to 9.31%, retransmission rate reductions ranging from 25.51% to 174.36% across all provinces of China, and cost savings exceeding 10 million US dollars. Gain valuable insights into the practical deployment challenges and solutions for implementing machine learning-based network optimization at scale, along with analysis of traffic patterns observed in Alibaba Cloud's CDN infrastructure.
